Instructions to use byhylee/audio_cls_lee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byhylee/audio_cls_lee with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="byhylee/audio_cls_lee")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("byhylee/audio_cls_lee") model = AutoModelForAudioClassification.from_pretrained("byhylee/audio_cls_lee") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7fcea76a468a7d12414f32cdf721551b9cccb85bcd6340df789d76ed66ce8ef
- Size of remote file:
- 5.2 kB
- SHA256:
- 4807d0c2b7c7027cbcc992b1017bc274480a2d8956ea152ac2562f7fa02ea905
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